[HTML][HTML] Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis

H Thakkar, V Shah, H Yagnik, M Shah - Clinical eHealth, 2021 - Elsevier
Diabetes is an ailment in which glucose level increase in at high rates in blood due to body's
inability to metabolize it. This happens when body does not produce sufficient amount of …

Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives

S Kaur, J Singla, L Nkenyereye, S Jha, D Prashar… - IEEE …, 2020 - ieeexplore.ieee.org
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

An intelligent fuzzy inference rule‐based expert recommendation system for predictive diabetes diagnosis

P Nagaraj, P Deepalakshmi - International Journal of Imaging …, 2022 - Wiley Online Library
Diabetes is one of the most common and hazardous diseases, which can affect almost every
organ in the body. Diagnosis of diabetes requires determining all vital parameters related to …

Random forest algorithm for the prediction of diabetes

K VijiyaKumar, B Lavanya, I Nirmala… - … conference on system …, 2019 - ieeexplore.ieee.org
Diabetes is taken into account together of the deadliest and chronic disease that causes a
rise in glucose. Polygenic disease is that the kind wherever the exocrine gland doesn't …

Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intelligence (AI) Algorithms

M Tariq, Y Hayat, A Hussain, A Tariq, S Rasool - International Research Journal … - irjems.org
The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …

Machine learning algorithms for the classification of cardiovascular disease-A comparative study

WM Jinjri, P Keikhosrokiani… - 2021 International …, 2021 - ieeexplore.ieee.org
Heart disease (cardiovascular disease) is a major human disorder that significantly affects
many people's lives. Diagnosing heart disease becomes an important task to reduce its …

Towards adequate prediction of prediabetes using spatiotemporal ECG and EEG feature analysis and weight-based multi-model approach

I Tobore, A Kandwal, J Li, Y Yan, OM Omisore… - Knowledge-Based …, 2020 - Elsevier
Prediabetes is a metabolic condition before the occurrence of diabetes. The diagnosis of
prediabetes can slow down or eliminate the growing cases of diabetes around the world …

Web Application-based Diabetes Prediction using Machine Learning

PTS Gurunathan, S Raghuraj, S Roahit… - 2023 7th …, 2023 - ieeexplore.ieee.org
Diabetes is a crucial illness, and a lot of people are struggling with it. People with diabetic
issues are at high risk of illnesses like cardiovascular disease, kidney illness, stroke, eye …

[PDF][PDF] Data Mining Techniques Based Diabetes Prediction

A Saxena, M Jain, P Shrivastava - Indian Journal of Artificial …, 2021 - academia.edu
Data mining plays an important part in the healthcare sector disease prediction. Techniques
of data mining are commonly used in early disease detection. Diabetes is one of the world's …

Fuzzy logic based decision systems in the healthcare sector

V Mittal, P Malik, KC Purohit, M Ram - Advances in Soft Computing …, 2023 - taylorfrancis.com
Fuzzy logic is a powerful tool for real-world problems in which data is approximate but not
fixed. Fuzzy models are capable of recognizing, representing, manipulating, understanding …